Almost every common and complex disease has a genetic basis. In other words, complex diseases are defined as diseases that are ultimately determined by a number of genetic and environmental factors. Therefore, identification of the genes is a prerequisite to understanding the biological basis of the disease. In my lab, we primarily focus on identifying and studying genes associated with lupus—an autoimmune disease in which the body’s immune system attacks the body’s own cells.
Lupus is a complex disease, so there are many combinations of genes and environmental factors that can cause it. In our genome, we have about 25,000 genes. By finding out which genes contribute to the disease, we can better understand how lupus starts. One way we do that is called “gene-mapping.” We take DNA samples from a large group of patients with lupus and compare them to DNA samples of people without lupus. Then we try to pinpoint DNA variations that show us which genetic difference are related to the disease. The statistical analyses are vital and necessary components of any gene-mapping effort.
A few years ago, this kind of work would have been impossible, because the technology to study the DNA variations efficiently didn’t exist. In each individual, we have to work with millions of data-points to draw a meaningful conclusion. It’s still not easy, but now we have several analytical methods and computational techniques, along with faster and sophisticated machines, to help us do it.
The goal of all of this is to find the genes responsible for causing diseases and learn what they do. Then we can work on new ways to treat disease.
For disorders with a poorly understood biochemical basis, identification of the genes is a prerequisite to understanding the biological basis of the disease. Therefore, identification of genes contributing to disease susceptibility helps us understanding the development and pathogenesis of these diseases.
Statistical analyses are vital and necessary components of any gene-mapping effort. Approaches to map and identify disease genes vary according to the research question, the population, and the disease under analysis. These methods include various genetic-epidemiological methods like linkage analysis, segregation analysis, candidate gene analysis, association mapping, admixture mapping, population genetics and meta analysis.
The central focus of my research is to study the genetic epidemiology of complex diseases in which the inheritance does not follow clear-cut Mendelian fashion. These studies involve analyses of large numbers of phenotypically well-characterized families and case-control samples. The advent of new molecular genetic technologies makes the mapping and identification of susceptibility genes, and their interactions with other genes and environmental factors feasible. The disease which we are mostly interested is systemic lupus erythematosus (SLE), an autoimmune disease and non-syndromic cleft lip with or without cleft palate (NSCLP).
We have conducted several genome scans for to identify chromosomal regions likely to harbor SLE susceptibility genes. Additionally, we are looking at candidate genes in the linked and other chromosomal regions for association with the disease. Currently, my lab is actively involved in the positional cloning and identification of major SLE susceptibility genes at 2q22-24, 5p15, 12q24, 16p12-q13 and Xq28 by combining data from linkage and allelic association from studies that differ in population, phenotype definition and ascertainment. We are also performing mapping by admixture linkage disequilibrium (MALD), a powerful and cost effective method to map the genes with low-penetrant risk. The key advantage of MALD is that a small number of ancestry informative markers are sufficient to map these SLE susceptibility loci. At present we are applying MALD techniques to the study of African-American populations.
NSCLP is one of the most common craniofacial malformations. Both genetic and environmental factors are involved in the pathogenesis. Recently, based on a high-density genome scan, we have identified 13q33.1-p34 as a novel NSCLP susceptibility region. Fine mapping is underway to identify the actual susceptibility gene.
M.Sc., University of Calcutta, India, 1989
Ph.D., Indian Statistical Institute, Calcutta, India, 1995
Postdoc, Case Western Reserve University, Cleveland, OH 1995-2000
Honors and Awards
1990 Recipient of NET (National Eligibility Test) Lectureship, conducted by University Grant Commission (India)
1990 Recipient of Indian Statistical Institute (ISI) Fellowship
1993 Recipient of the Young Scientist Award in Population Genetics, Indian Society of Human Genetics
2002 Recipient of Travel Grant Award, Federation of Clinical Immunology Societies (FOCIS)
2006 The Merrick Award for Outstanding Research
2008 J. Donald and Patricia H. Capra Distinguished Scientist
2013, 2014 Recipient of Travel Grant Award, Federation of Clinical Immunology Society (FOCIS)
2016 Edward L. and Thelma Gaylord Prize for Scientific Excellence
Ad hoc reviewer for Scientific Journals (in alphabetical order): American Journal of Human Genetics, Arthritis & Rheumatology, Arthritis Research & Therapy, Autoimmune Diseases, Bioinformatics, G3:Genes,Genomics,Genetics, Genetic Epidemiology, Human Genetics, Human Immunology, International Journal of Immunogenetics, International Journal of Rheumatology, Journal of Autoimmunity, Journal of Investigative Dermatology, Journal of Rheumatology, Lupus Science & Medicine, Nature Genetics, Pediatric Nephrology, PLOS Genetics, PLOS One, Rheumatology, Scientific Reports, Tissue Antigen
American Society of Human Genetics
International Genetic Epidemiology Society
Federation of Clinical Immunology Society
The American Association of Immunologists
Joined OMRF Scientific Staff in 2000.
Qi YY, Zhou XJ, Nath SK, Sun C, Wang YN, Hou P, Mu R, Li C, Guo JP, Li ZG, Wang G, Xu HJ, Hao YJ, Zhang ZL, Yue WH, Zhang HR, Zhao MH, Zhang H. A rare variant (rs933717) at FBXO31-MAP1LC3B in Chinese is associated with systemic lupus erythematosus. Arthritis Rheumatol. 2017 Oct 17. PMID:29044928
Langefeld CD, Ainsworth HC, Cunninghame Graham DS, ...Guthridge JM, Huggins JL, James JA, ... Merrill JT, Miranda P, Moctezuma JF, Nath SK, ... Sivils KL, ... Alarcón-Riquelme ME, ..., Gaffney PM, Vyse TJ. Transancestral mapping and genetic load in systemic lupus erythematosus. Nat Commun. 2017 Jul 17;8:16021. PMCID: PMC5520018
Kim K, Bang SY, Yoo DH, Cho SK, Choi CB, Sung YK, Kim TH, Jun JB, Kang YM, Suh CH, Shim SC, Lee SS, Lee J, Chung WT, Kim SK, Choe JY, Nath SK, Lee HS, Bae SC. Imputing Variants in HLA-DR Beta Genes Reveals That HLA-DRB1 Is Solely Associated with Rheumatoid Arthritis and Systemic Lupus Erythematosus. PLoS One. 2016 Feb 26;11(2):e0150283. eCollection 2016. PMCID:PMC4769216
Raj P, Rai E, Song R, ... Nath SK, James JA, Jacob CO, Tsao BP, Pasare C, Karp DR, Li QZ, Gaffney PM, Wakeland EK. Regulatory polymorphisms modulate the expression of HLA class II molecules and promote autoimmunity. Elife. 2016 Feb 15;5. pii: e12089. PMCID:PMC4811771
Molineros JE, Yang W, Zhou XJ, Sun C, Okada Y, Zhang H, Heng-Chua K, Lau YL, Kochi Y, Suzuki A, Yamamoto K, Ma J, Bang SY, Lee HS, Kim K, Bae SC, Zhang H, Shen N, Looger LL, Nath SK. Confirmation of five novel susceptibility loci for systemic lupus erythematosus (SLE) and integrated network analysis of 82 SLE susceptibility loci. Hum Mol Genet. 2017 Mar 15;26(6):1205-16. doi: 10.1093/hmg/ddx026. PMID: 28108556
Sun C, Molineros JE, Looger LL, Zhou XJ, Kim K, Okada Y, Ma J, Qi YY, Kim-Howard X, Motghare P, Bhattarai K, Adler A, Bang SY, Lee HS, Kim TH, Kang YM, Suh CH, Chung WT, Park YB, Choe JY, Shim SC, Kochi Y, Suzuki A, Kubo M, Sumida T, Yamamoto K, Lee SS, Kim YJ, Han BG, Dozmorov M, Kaufman KM, Wren JD, Harley JB, Shen N, Chua KH, Zhang H, Bae SC, Nath SK. High-density genotyping of immune-related loci identifies new SLE risk variants in individuals with Asian ancestry. DOI: 10.1038/ng.3496. Nat Genet. 2016 Mar;48(3):323-30. doi: 10.1038/ng.3496. Epub 2016 Jan 25. PMID: 26808113. PMCID: PMC4767573
Ratnamala U, Jhala D, Jain N, Meda R, Rao M, Mehta T, Sheth J, Saiyed N, Al-Ali F, Raval N, Nair S, Nair C Kuracha M, Nath SK, Radhakrishna R. Expanding the spectrum of γ-secretase gene mutation-associated phenotypes: two novel mutations segregating with familial Hidradenitis suppurativa (Acne inversa) and Acne conglobate. Exp Dermatol. 2016 Apr;25(4):314-6. doi: 10.111/exd.12911. Epub 2016 Feb 11. PMID: 26663538
Kim-Howard X, Sun C, Molineros JE, Maiti AK, Chandru H, Adler A, Wiley GB, Kaufman KM, Kottyan L, Guthridge JM, Rasmussen A, Kelly J, Sanchez E, Raj P, Li QZ, Bang SY, Lee HS, Kim TH, Kang YM, Suh CH, Chung WT, Park YB, Choe JY, Shim SC, Lee SS, Han BG, Olsen NJ, Karp DR, Moser K, Pons-Estel BA, Wakeland EK, James JA, Harley JB, Bae SC, Gaffney PM, Alarcón-Riquelme M, on behalf of GENLES, Looger LL, Nath SK. Allelic heterogeneity in NCF2 associated with systemic lupus erythematosus (SLE) susceptibility across four ethnic populations. Hum Mol Genet. 2014 Mar 15;23(6):1656-68. doi: 10.1093/hmg/ddt532. PMID: 24163247. PMCID: PMC3929085
Molineros JE, Maiti AK, Sun C, Looger LL, Kim-Howard X , Glenn S, Adler A, Han S, Kelly JA, Niewold TB, Gilkeson GS, Brown EE, Alarcón GS, Edberg JC, Petri M, Ramsey-Goldman R, Reveille JD, Vilá LM, Freedman BI, Tsao BP, Criswell LA, Jacob CO, Moore JH, Vyse TJ, Langefeld CL, Guthridge JM, Gaffney PM, Moser KL, Scofield RH, Alarcón-Riquelme ME, on behalf of the BIOLUPUS Network, Williams SM, Merrill JT, James JA, Kaufman KM, Kimberly RP, Harley JB, Nath SK. Admixture Mapping in Lupus Identifies Multiple Functional Variants within IFIH1 Associated with Apoptosis, Inflammation and Autoantibody Production. PLoS Genet. 2013;9(2):e1003222. doi: 10.1371/journal.pgen.1003222. PMID: 23441136. PMCID: PMC3575474
Arthritis & Clinical Immunology Research Program, MS 24
Oklahoma Medical Research Foundation
825 N.E. 13th Street
Oklahoma City, OK 73104
Phone: (405) 271-7765
Fax: (405) 271-4110